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Data Engineer

Trabajo disponible en: 08001, Barcelona, Cataluna, España
Empresa: Perk
Tiempo completo posición
Publicado en 2026-01-03
Especializaciones laborales:
  • TI/Tecnología
    Ingeniero de datos, Analista de datos
Rango Salarial o Referencia de la Industria: 30000 - 50000 EUR Anual EUR 30000.00 50000.00 YEAR
Descripción del trabajo

About Us

Perk (formerly Travel Perk) is the intelligent platform for travel and spend management. Built to tackle the time‑consuming, manual work that gets in the way of real work, our tools automate everything from travel bookings to expenses, invoice processing, and more. By eliminating this shadow work that wastes hours, erodes morale, and saps innovation, we’re on a mission to power real work, with real impact.

We’re trusted by more than 10,000 companies worldwide, including Wise, On Running, Breitling, and Fabletics, and we’re tackling the 7 hours of lost productivity per employee each week, a $1.7 trillion problem.

Founded in 2015, Perk has grown into a global company of more than 1,800 people across 12 offices worldwide, with headquarters in London and Boston. We combine innovation, control, and simplicity to transform how businesses work and how people feel at work.

At Perk, we’re driven by our values, like being an owner, delivering a 7‑star experience, and working as one team. We value curiosity, purpose, and mindset, not just knowledge, to unlock the power in your potential. Our talent team brings together leading minds from the travel and SaaS industries, representing over 70 countries. If you’re excited about having a real impact and shaping how millions of people experience work, we’d love you on the team.

Visit  to learn more.

About the Role

We are looking for a Data Engineer to scale our Data Operations team and help us improve our Data Governance & Data Integration processes. This Role’s mission will be:

  • Ensure we are able to keep all data in our DWH updated and accessible for analysis
  • Partner with the Data analysts to support the requirements of the company in terms of analytics, reliability and efficiency
  • Develop and maintain data pipelines to extract data from different sources and integrate it in the DWH following data modeling best practices
What you will do
  • Take charge of the required data processing while ensuring sustainable and organic growth of the data model and the infrastructure
  • Keep our data infrastructure up to date and working like a clock
  • Integrate and model datasets from different sources
  • Support our Data Analysts & BI Developers to get the right data to build awesome dashboards and complex analytical models
  • Support Product and Analytics teams in defining the best approaches for data modeling
  • Use data to investigate and help resolve issues in our product or processes
  • Proactively suggest improvements to data reliability, efficiency and quality
  • Champion a healthy data culture throughout the organization
What you need
  • 3+ years of relevant experience as a Data Engineer, Business Intelligence, Big-Data Engineer or similar role working with large-scale data systems
  • Excellent communication skills, both written and spoken, in English
  • You are a Master in SQL, optimizing queries for performance, scalability, and ease of maintenance
  • You feel comfortable querying different types of databases (Postgre

    SQL, Redshift, Snowflake) and have knowledge of different AWS services
  • You’re an ace at data modeling, accustomed to designing and implementing complex architectures with a constant eye on their future evolution while taking into account the needs of multiple users
  • You have experience building data pipelines using Python
  • You have experience integrating data from multiple sources including DBs, product tracking, and APIs. You get excited by seeing your jobs run like clockwork
  • You have an instinct for automation
  • You have the desire to work in an international environment, with minimal direction, and with highly engaged individuals
Bonus points for…
  • Experience with AWS Redshift or other distributed systems (Snowflake, Big Query, Hadoop, Vertica, Exasol, etc.). Basic DBA skills
  • Experience in web analytics and web tracking and event‑based analytics tools
  • Experience with workflow managers (Airflow, Luigi, etc.)
  • Experience with dbt.
  • Experience in queue and streaming systems (SNS, Kafka, Firehose…)
What do we offer?
  • Competitive compensation including equity in the company
  • Generous vacation days so you can rest and recharge
  • Health perks such as private healthcare or gym allowance depending on your location
  • "Flexible…
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